Join a dynamic team as a Senior Machine Learning Engineer, where you'll develop and maintain machine learning pipelines for a financial services client. This role is perfect for someone who is passionate about AI and eager to work with the latest technologies.
As a Senior Machine Learning Engineer at Psybergate, you will be working with a financial services client in Sandton. Your main responsibility will be to build reusable machine learning pipelines that incorporate MLOps practices, CI/CD processes, and automated testing. Staying updated with the latest trends in machine learning, AI, and cloud technologies will be crucial for your success in this role.
Your day-to-day tasks will involve collaborating with other engineers and data scientists to ensure that the machine learning models are not only effective but also maintainable and scalable. You will also be responsible for monitoring the performance of these models and implementing governance practices to ensure compliance and reliability.
This role is ideal for someone with a strong background in MLOps and DevOps, as well as experience in software engineering practices. You should have relevant certifications in DevOps, MLOps, or Platform Engineering to demonstrate your expertise. If you are passionate about leveraging technology to drive innovation in the financial sector, this position could be a great fit for you.
You'll be taken to the original listing on PNet to apply.